Optimal Energy Management for a Mild Hybrid Vehicle With Electric and Hybrid Engine Boosting Systems

被引:25
|
作者
Nazari, Shima [1 ]
Siegel, Jason [1 ]
Stefanopoulou, Anna [1 ]
机构
[1] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48105 USA
关键词
Hybrid electric vehicle (HEV); energy management; optimal control; dynamic programming (DP); engine boosting electrification; STRATEGY; CONSUMPTION; POWERTRAIN; ECMS;
D O I
10.1109/TVT.2019.2898868
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates the utilization of two low-voltage hybrid mechanisms on fuel economy improvement of a vehicle with a downsized engine. The first mild hybrid system, configured with a motor, a planetary gear set, and a supercharger, permits switching between parallel hybrid operation and boosting but not both. This constrained flexibility offers additional degrees of freedom, yet it requires a highly optimized decision of which functionality, torque assist, or boost assist, in addition to how much energy to be used by each. The second mild hybrid system also supports supercharging and torque assist but with two separate motors, hence is more flexible. Both systems enable the use of a downsized engine as a competitive counterpart to widely used turbocharged and full hybrid electric powertrains. The optimal control problem for energy management of both configurations on a vehicle with an automatic transmission is formulated and solved using dynamic programming (DP) over standard drive cycles. The results indicate around 25% fuel consumption improvement compared to a baseline turbo-charged engine over the FTP75 cycle, which is around 80% of the full hybridization benefit. The supercharging versus torque assist share and its sensitivity to the drive cycle, battery size, and compressor efficiency, which influence the availability of electric energy and the losses of electrical and mechanical paths, is also investigated. Few causally implementable rules for selecting the single motor system operating mode are found by analysis of the DP solution, and their effectiveness is shown by incorporating into the DP formulation and comparing the resulting fuel consumption.
引用
收藏
页码:3386 / 3399
页数:14
相关论文
共 50 条
  • [1] Optimal energy management strategy of a hybrid electric vehicle considering engine noise
    Aliramezani, M.
    Khademnahvi, M.
    Delkhosh, M.
    [J]. JOURNAL OF VIBRATION AND CONTROL, 2018, 24 (23) : 5546 - 5555
  • [2] Optimal Energy Management for Hydrogen Economy in a Hybrid Electric Vehicle
    Ferahtia, Seydali
    Rezk, Hegazy
    Ghoniem, Rania M. M.
    Fathy, Ahmed
    Alkanhel, Reem
    Ghonem, Mohamed M. M.
    [J]. SUSTAINABILITY, 2023, 15 (04)
  • [3] Hybrid Energy Management Strategy for Hybrid Electric Vehicle
    Horrein, L.
    Bouscayrol, A.
    Cheng, Y.
    Dumand, C.
    [J]. 2015 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2015,
  • [4] Energy Management of a Hybrid Electric Vehicle
    Khadhraoui, Ahmed
    Selmi, Tarek
    Cherif, Adnen
    [J]. ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2022, 12 (04) : 8916 - 8921
  • [5] Energy Management of a Hybrid Electric Vehicle
    Batteux, Michel
    Donain, Matthieu
    Fiani, Philippe
    Garnit, Sadok
    Noirtat, Eric
    Roy, Francis
    [J]. 25TH WORLD BATTERY, HYBRID AND FUEL CELL ELECTRIC VEHICLE SYMPOSIUM AND EXHIBITION PROCEEDINGS, VOLS 1 & 2, 2010, : 94 - 98
  • [6] A Study on Optimal Operation Strategy for Mild Hybrid Electric Vehicle Based on Hybrid Energy Storage System
    Bae, SunHo
    Park, Jung-Wook
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2018, 13 (02) : 631 - 636
  • [7] Modeling and optimal energy management of a power split hybrid electric vehicle
    SHI DeHua
    WANG ShaoHua
    Pierluigi Pisu
    CHEN Long
    WANG RuoChen
    WANG RenGuang
    [J]. Science China(Technological Sciences), 2017, (05) - 725
  • [8] Modeling and optimal energy management of a power split hybrid electric vehicle
    SHI DeHua
    WANG ShaoHua
    Pierluigi Pisu
    CHEN Long
    WANG RuoChen
    WANG RenGuang
    [J]. Science China Technological Sciences, 2017, 60 (05) : 713 - 725
  • [9] Modeling and optimal energy management of a power split hybrid electric vehicle
    DeHua Shi
    ShaoHua Wang
    Pierluigi Pisu
    Long Chen
    RuoChen Wang
    RenGuang Wang
    [J]. Science China Technological Sciences, 2017, 60 : 713 - 725
  • [10] Optimal Energy Management for a Hybrid Electric Vehicle With a Power Split Supercharger
    Nazari, Shima
    Siegel, Jason
    Stefanopoulou, Anna
    [J]. 2018 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2018,